This is a backend role (Python services + data-heavy systems) where you'll build and maintain services for experiment assignment, logging, and report generation. You'll improve scalability, performance, and reliability of experiment reporting pipelines, add product-facing features to the UI, and take technical ownership of projects.

Responsibilities

• Build and maintain backend services for experiment assignment, logging, and report generation
• Improve scalability, performance, and reliability of experiment reporting pipelines
• Add product-facing features to the UI to help users launch experiments and interpret results
• Take technical ownership of projects: shape solutions, break down work, and drive execution with the team
• Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)

Requirements

• Strong experience building and owning production backend services in Python
• Experience with monitoring, alerting, and debugging user-facing systems
• Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)
• Ability to ship maintainable software (tests, code review, incremental delivery)

Nice-to-have

• Experience with experimentation systems, metrics platforms, or A/B testing workflows
• Experience with PySpark and/or Databricks

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget
• Maternity & Paternity leave for qualified employees
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options
• Regular team offsites to connect and collaborate

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